liquidsvm/liquidsvm   0.6.0

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

recommenders-team/recommenders   0.6.6

Best Practices on Recommendation Systems

h2oai/h2o-3   3.30.0.3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

whylabs/whylogs   0.7.0

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

pometry/raphtory   0.2.2

Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust

cdapio/cdap   6.10.1

An open source framework for building data analytic applications.

mrdimosthenis/synapses   7.3.1

A group of neural-network libraries for functional and mainstream languages

catboost/catboost   1.2.7

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

apache/flink-ml   2.0.0

Machine learning library of Apache Flink

pantsbuild/pants   0.0.14

The Pants Build System